# Llama-3.3-70B-Instruct vs Yi-Large

> Llama-3.3-70B-Instruct has enough public results to be ranked (#291); Yi-Large does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/llama-3-3-70b-instruct-vs-yi-large
- Last updated: 2026-10-10
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. Llama-3.3-70B-Instruct scores higher in 0 categories and Yi-Large in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where Yi-Large leads 36.7 to 31.0.
- The biggest single-benchmark swing is BigCodeBench Complete: 57.5% for Llama-3.3-70B-Instruct and 47.2% for Yi-Large.
- Llama-3.3-70B-Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Llama-3.3-70B-Instruct | Yi-Large |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 30.6 | 38.1 |
| Rank | 291 | — |
| Context | 128K | — |
| Input $/M | $0.10 | — |
| Output $/M | $0.32 | — |
| Weights | Open | Proprietary |

## Coding

- Llama-3.3-70B-Instruct: 31.0 (#290)
- Yi-Large: 36.7 (#203)

| Benchmark | Llama-3.3-70B-Instruct | Yi-Large |
|---|---|---|
| BigCodeBench Instruct | 46.9% | 37.7% |
| BigCodeBench Complete | 57.5% | 47.2% |
| SciCode | 26% | — |
| WeirdML | 14.4% | — |
| LiveBench Coding | 36.6% | — |
| LMArena Coding | 1268 | — |

## Agentic & Tool Use

- Llama-3.3-70B-Instruct: 25.8 (#105)
- Yi-Large: —

| Benchmark | Llama-3.3-70B-Instruct | Yi-Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | 31.9% | — |
| BALROG | 23% | — |

## Reasoning

- Llama-3.3-70B-Instruct: 14.1 (#327)
- Yi-Large: —

| Benchmark | Llama-3.3-70B-Instruct | Yi-Large |
|---|---|---|
| SimpleBench | 19.9% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | 50.8% | — |
| LMArena Hard Prompts | 1257 | — |
| DTBench | 59.5% | — |
| LiveBench Data Analysis | 49.5% | — |
| LMCA | 17.5% | — |
| Epoch Capabilities Index | 127.33 | — |
| ForecastBench | 58.6 | — |
| LiveBench | 50.2% | — |

## Math

- Llama-3.3-70B-Instruct: 15.3 (#298)
- Yi-Large: —

| Benchmark | Llama-3.3-70B-Instruct | Yi-Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 5.1% | — |
| LiveBench Math | 42.2% | — |
| LMArena Math | 1267 | — |
| MATH Level 5 | 41.6% | — |

## Knowledge

- Llama-3.3-70B-Instruct: 30.6 (#226)
- Yi-Large: —

| Benchmark | Llama-3.3-70B-Instruct | Yi-Large |
|---|---|---|
| MMLU | 86.3% | 79.3% |
| GPQA Diamond | 47.4% | — |
| Confabulations | 22.8% | — |
| Vectara Hallucination Rate | 4.1% | — |
| LMArena Expert | 1225 | — |

## Multilingual

- Llama-3.3-70B-Instruct: 39.9 (#220)
- Yi-Large: —

| Benchmark | Llama-3.3-70B-Instruct | Yi-Large |
|---|---|---|
| LMArena Non-English | 1236 | — |
| LMArena Chinese | 1217 | — |
| LMArena French | 1281 | — |
| LMArena German | 1251 | — |
| LMArena Japanese | 1150 | — |
| LMArena Korean | 1143 | — |
| LMArena Russian | 1252 | — |
| LMArena Spanish | 1270 | — |

## Instruction Following

- Llama-3.3-70B-Instruct: 71.1 (#157)
- Yi-Large: —

| Benchmark | Llama-3.3-70B-Instruct | Yi-Large |
|---|---|---|
| LiveBench Instruction Following | 82.7% | — |
| LMArena Instruction Following | 1242 | — |

## Long Context

- Llama-3.3-70B-Instruct: 26.4 (#295)
- Yi-Large: —

| Benchmark | Llama-3.3-70B-Instruct | Yi-Large |
|---|---|---|
| Fiction.LiveBench | 33.3% | — |
| LMArena Longer Query | 1256 | — |

## Writing & Preference

- Llama-3.3-70B-Instruct: 47.6 (#207)
- Yi-Large: —

| Benchmark | Llama-3.3-70B-Instruct | Yi-Large |
|---|---|---|
| LMArena Text | 1274 | — |
| LMArena Creative Writing | 1250 | — |
| LMArena Multi-Turn | 1280 | — |
| LiveBench Language | 39.2% | — |

## FAQ

### Is Llama-3.3-70B-Instruct better than Yi-Large?

Llama-3.3-70B-Instruct has enough public results to be ranked (#291); Yi-Large does not yet, so treat this comparison as directional.

### Is Llama-3.3-70B-Instruct or Yi-Large better for coding?

Yi-Large scores higher on coding benchmarks: 36.7 versus 31.0 in the Noometry coding category.

### How many benchmarks do Llama-3.3-70B-Instruct and Yi-Large share?

3 benchmarks have published results for both models. Llama-3.3-70B-Instruct has 43 scored results on Noometry and Yi-Large has 3.